Search Results for author:
Found 2 papers, 1 papers with code
Computing Rule-Based Explanations by Leveraging Counterfactuals
We prove a Duality Theorem, showing that rule-based and counterfactual-based explanations are dual to each other, then use this observation to develop an efficient algorithm for computing rule-based explanations, which uses the counterfactual-based explanation as an oracle.
GeCo: Quality Counterfactual Explanations in Real Time
Machine learning is increasingly applied in high-stakes decision making that directly affect people's lives, and this leads to an increased demand for systems to explain their decisions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
